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Article
GridFormer: Residual Dense Transformer with Grid Structure for Image Restoration in Adverse Weather Conditions
Image restoration in adverse weather conditions is a difficult task in computer vision. In this paper, we propose a novel transformer-based framework called GridFormer which serves as a backbone for image rest...
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Article
Aircraft type recognition in 3D-view optical image with contour segmentation
Aircraft type recognition has been researched deeply for plenty years on remote sensing and radar signal processing fields because of military needs. However, with the rapid development of UAV visualization te...
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Article
Fast Ultra High-Definition Video Deblurring via Multi-scale Separable Network
Despite significant progress has been made in image and video deblurring, much less attention has been paid to process ultra high-definition (UHD) videos (e.g., 4K resolution). In this work, we propose a novel...
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Article
Open AccessUltrathin damage-tolerant flexible metal interconnects reinforced by in-situ graphene synthesis
Conductive patterned metal films bonded to compliant elastomeric substrates form meshes which enable flexible electronic interconnects for various applications. However, while bottom-up deposition of thin film...
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Article
Deep Image Deblurring: A Survey
Image deblurring is a classic problem in low-level computer vision with the aim to recover a sharp image from a blurred input image. Advances in deep learning have led to significant progress in solving this p...
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Article
Beyond Monocular Deraining: Parallel Stereo Deraining Network Via Semantic Prior
Rain is a common natural phenomenon. Taking images in the rain however often results in degraded quality of images, thus compromises the performance of many computer vision systems. Most existing de-rain algor...
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Article
Open AccessDisplacement-Invariant Cost Computation for Stereo Matching
Although deep learning-based methods have dominated stereo matching leaderboards by yielding unprecedented disparity accuracy, their inference time is typically slow, i.e., less than 4 FPS for a pair of 540p imag...
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Chapter and Conference Paper
Correction to: Single Image Super-Resolution via a Holistic Attention Network
In the originally published version of chapter 12, the first affiliation stated a wrong city and country. This has been corrected.
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Chapter and Conference Paper
Single Image Super-Resolution via a Holistic Attention Network
Informative features play a crucial role in the single image super-resolution task. Channel attention has been demonstrated to be effective for preserving information-rich features in each layer. However, chan...
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Chapter and Conference Paper
Unsupervised Domain Adaptation with Noise Resistible Mutual-Training for Person Re-identification
Unsupervised domain adaptation (UDA) in the task of person re-identification (re-ID) is highly challenging due to large domain divergence and no class overlap between domains. Pseudo-label based self-training ...
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Chapter and Conference Paper
Beyond Monocular Deraining: Stereo Image Deraining via Semantic Understanding
Rain is a common natural phenomenon. Taking images in the rain however often results in degraded quality of images, thus compromises the performance of many computer vision systems. Most existing de-rain algor...
